Modeling and Optimization of Energy services in Net Zero Energy House

Hang Dao Thi Thu

Research output: ThesisDoctoral ThesisMonograph

Abstract

The building sector consumes about 40% of primary energy in Europe, of which, residential building accounts for 26% - as the largest single energy consumption. As a result, the building sector plays a decisive role to reduce Europe's energy consumption. This led to the release of European Energy Performance Building Directive in 2010 known as EPBD recast 2010 which introduced the objective that all new buildings - and existing large buildings, by retrofitting – be Net Zero Energy Building (NZEB) from 2020 onwards. As a result, this PhD thesis intends to contribute to the design of better policies that foster the implementation of NZEB concept or Net Zero Energy House (NZEH), as a subset, with a particular emphasis on residential building in Europe. In this context, Portugal and Finland are chosen as the cases of the two climatically distinct European countries (Mediterranean vs. Boreal/Sub-Arctic) that also possess a large socio-economic gap. The thesis proposes that in order to develop policies that lead to the successful NZEH implementation in Europe, a clearly defined energy-service framework with numerical reference values for the residential energy services demand is required. As a result, the thesis proposes an energy service modeling framework for residential energy services: space heating and cooling, water heating, lighting, cooking, kitchen appliances and other media appliances. Additionally, a multi-objective optimization method that uses genetic algorithms is carried out, which can help to determine the optimal choice of energy systems to supply the demand energy services. The optimization objectives combine: minimize the energy system cost and minimize the energy demand. Furthermore, implications for future technology development and policy recommendations are defined with the emphasis on the end-use and demand side of residential energy services.With respect to Portugal, the results are water heat pump is best suited for water heating, whereas biomass boiler is preferable for both water and space heating. Moreover, PV is found to be the best option for the electricity demand of media, cooking, and lighting. Of all the investigated options, geothermal remains the least cost-effective, whilst energy storage deployment needs more effective incentive mechanism to ensure cost feasibility. For Finland, it is found that a water heat pump is the most suitable means for water heating in detached houses, whereas district heat systems based on renewable energy resources offer the best option for water and space heating in an apartment building scenario. In contrast to Portugal, geothermal heat pumps offer a cost-effective alternative for space heating in the Finland's climate.
Translated title of the contributionModeling and Optimization of Energy services in Net Zero Energy House
Original languageEnglish
QualificationDoctor's degree
Awarding Institution
  • Aalto University
Supervisors/Advisors
  • Santos Silva, Carlos Augusto, Supervising Professor
  • Paltakari, Jouni, Supervising Professor
  • Jalas, Mikko, Thesis Advisor
Publisher
Print ISBNs978-952-60-7719-2
Electronic ISBNs978-952-60-7720-8
Publication statusPublished - 2017
MoE publication typeG4 Doctoral dissertation (monograph)

Keywords

  • Net Zero Energy House
  • energy services
  • residential energy services
  • residential energy consumption
  • life-cycle cost optimal
  • multiple objectives optimization
  • genetic algorithm
  • renewable energy
  • residential energy system

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